Software Engineer / Computer Science Placement

Oldham
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer Institute of Computation / 05 March 2025

Staff Machine Learning Engineer Institute of Computation / 14 January 2025

Machine Learning Data Engineer

Software Engineer - Guildford

Software Engineer

Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement?

Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2025.

The role Overview:

As a Software Engineer Intern working in the Applied Sciences Group, you’ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL’s hardware platforms.

Here at ITL, we offer

Real-world experience working on impactful projects.

Guidance and mentorship from experienced professionals.

Networking opportunities within the technology industry.

A collaborative and dynamic work environment.

Potential for a full-time role upon successful completion of the internship.

This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field.

Your responsibilities:

You will be working in a fast paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms.

As a Computer Science Intern, you will:

Collaborate with the computer science team to design, develop, and test software applications.

Write clean, efficient, and maintainable code for various projects.

Debug and troubleshoot issues in existing systems.

Participate in brainstorming sessions and contribute to the development of new ideas.

Conduct research on emerging technologies and recommend their applications.

Document processes, technical designs, and findings.

Qualifications

An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject.  

Your Skills & Experience

Strong experience of programming in Python.

Basic knowledge of algorithms, data structures, and object-oriented programming

Familiarity with software development methodologies (e.g., Agile, Scrum)

An excellent communicator who’s analytical minded with a practical approach to solving problems. 

Your Package & Perks

A competitive salary

Flexible working hours

32 days holiday (including public holidays) and the opportunity to earn up to an extra 13 days holiday each year

Educational Sponsorship

Informal dress code             

Paid breaks, with free hot premium drinks

Free secure parking

Free onsite modern gym

A choice of healthcare schemes

Dental Scheme

Life Insurance

Onsite electric car charging points and staff car workshop     

Cycle to Work Scheme

We’re Innovative…

Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with almost 200 based from our state-of-the-art R&D hub.

From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world’s leading companies.

By being true to our values of Innovation, Collaboration, Respect and Drive we’ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You’ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links.

We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application.  

What’s next?

If you’re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you.

A better way...  Through our people, drive and commitment we push boundaries to deliver innovative products and services

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.